Research on application of Kalman filter to reduce random angle error of satcom station

In order to reduce angle error of satcom station on the metrical vessel, Kaiman filter is used to filter angle-error signals in servo system of satcom station in this paper. Angle-error signal is frequently corrupted by random noise. Kaiman filter based on Singer model, which is a kind of linear minimum variance estimation, is a good tool for denoising the angle-error signal in servo system. Experimental results on application display that Kaiman filter can reduce random noise of the angle-error signal effectively and thus improving tracking precision of satcom station on the vessel.